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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  basic Dask_jupyerlab extension demo\n",
    "see  https://www.youtube.com/watch?feature=player_embedded&v=EX_voquHdk0\n",
    "\n",
    "If not working, see the how-to: https://github.com/dask/dask-labextension\n",
    "\n",
    "You may have, if not working, to re-run;\n",
    "\n",
    "<pre>jupyter serverextension enable dask_labextension</pre>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: launch a Client\n",
    "\n",
    "- warning; Dask-Jupyterlab doesn't work for Python-3.9.1, even with Distributed-2020.12.0\n",
    "- check here for progress on the issue: https://github.com/dask/distributed/issues/4168)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client\n",
    "import multiprocessing.popen_spawn_win32\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## step2 \n",
    "- click on the DASK Extension (the red pictures) on the left left pannel\n",
    "- copy the Dashoard url (in blue in the cell above this one) in the DASK DASHBOARD URL ot the Dask Extension panel that appears\n",
    "- click on the refresh circualr arrow on the left of the bottom CLUSTERS line of the Dask Extension panel\n",
    "- .... this make the buttons of the DASK extension to go from GREY to ORANGE\n",
    "- .....clicking on each of them open a dedicated pan with related information: for example \"GRAPH\"\n",
    "- ..... with jupyterlan you can show it side-to-side with current notebook by moving tabs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dask.array as da\n",
    "\n",
    "x = da.random.random(((20000 , 20000)), chunks=\"16 Mib\")\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = (x + x.T) - x.mean(axis=0)\n",
    "y.sum().compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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